class_docstr: Prompt Tuning implementation.
  
  Args:
      model_config: The model configuration.
      adapters_config: The adapter configuration.
      base_model_embeddings:
          The embedding layer of the base model (used to initialize the prompt embedding if
          prompt_init='from_string').
code: def delete_fusion_layer(self, adapter_names: Union[List, str]):
      pass
  
imports: import math
  from typing import Callable, Dict, List, Union
  import numpy
  import torch
  from torch import nn
  from transformers import AutoTokenizer
  from transformers.configuration_utils import PretrainedConfig
  from ..composition import AdapterCompositionBlock
  from ..configuration import ModelAdaptersConfig, PromptTuningConfig
  from ..context import ForwardContext
  from .adapter_layer_base import AdapterLayerBase
label_desc: Use image node_id 6 for calling the PromptTuningLayer obj's underlying member method code with example usage: obj.delete_fusion_layer(adapter_names) without return types